Uniform Convergence: Showing Continuous & Uniformly Continuous

mattmns
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Here is the question from the book:
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Let f: \mathbb{R} \to \mathbb{R} be a function. For any a\in \mathbb{R}, let f_a :\mathbb{R}\to \mathbb{R} be the shifted function f_a(x):=f(x-a).(a) Show that f is continuous if and only if, whenever (a_n)_{n=0}^{\infty} is a sequence of real numbers which converges to zero, the shifted functions f_{a_n} converge pointwise to f.

(b) Show that f is uniformly continuous if and only if, whenever (a_n)_{n=0}^{\infty} is a sequence of real numbers which converges to zero, the shifted functions f_{a_n} converge uniformly to f.---------
(\Rightarrow) Let x_0 \in \mathbb{R}. Suppose f is continuous. That is, given \epsilon > 0 there exists \delta > 0 such that if |x-x_0| < \delta then |f(x)-f(x_0)| < \epsilon.Let x_n = x_0 - a_n. So given \delta > 0 there exists N' > 0 such that |x_n - x_0|< \delta for all n > N'.

Given \epsilon' > 0 take \epsilon = \epsilon', and take N = N'.

So by the continuity of f we get that |x_n - x_0| < \delta for all n>N' = N.

Thus, |f(x_n) - f(x_0)| < \epsilon = \epsilon'.

But, f(x_n) = f(x_0-a_n) = f_{a_n}(x_0) for all n>N.

So we have |f_{a_n}(x_0) - f(x_0)| < \epsilon for all n>N.Thus f_{a_n} converges pointwise to f.
(\Leftarrow) Suppose given a_n \to 0 that f_{a_n} converges pointwise to f. Given x_0 take a sequence x_n which converges to x_0. That is, a_n = x_0 - x_n \to 0.

Since f_n converges pointwise to f, given \epsilon > 0 there is some N>0 such that |f_{a_n}(x_0) - f(x_0)| < \epsilon for all n>N.

But, |f_{a_n}(x_0) - f(x_0)| = |f(x_0 - a_n) - f(x_0)| = |f(x_n) - f(x_0)|.

Hence, |f(x_n) - f(x_0)| < \epsilon for all n>N.

That is, f(x_n) converges to f(x_0). Thus, f is continuous.----------

I don't think there is anything wrong with any of that (if there is, or you have any comments please say something).

However, I am not too sure about part (b).

The first direction is the same as in part (a), but the other direction I am not sure about.

I have been trying just the basic epsilon-delta definition way (similar to what I did in part (a) with this direction) and not really getting anywhere (which I guess could be expected since we don't have a uniform continuity definition with sequences [at least in our book]).

Any ideas? Thanks!edit... I am converting the $ signs to 's. Is there an easy (fast and painless) way to do this?
 
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Copy into notepad, search and replace, using pre-spaces to distinguish opening from closing ones. If it's not too late.
 
What is your definition of uniform continuity? (Please always post relevant definitions)
 
Cool, that worked nicely! Any ideas about the exercise now :smile:

Sorry, I thought that was a standard definition. Here it is:

Uniform Continuity: Let f:X\to Y be a map from one metric space (X,d_X) to another (Y,d_Y). Then f is uniformly continuous if, for every \epsilon > 0, there exists a \delta > 0 such that d_Y(f(x),f(x')) < \epsilon whenever x,x'\in X are such that d_X(x,x')<\delta.

Here is our book's definition of uniform convergence:

Let (f^{(n)})_{n=1}^{\infty} be a sequence of functions from one metric space (X,d_X) to another (Y,d_Y), and let f: X\to Y be another function. We say that (f^{(n)})_{n=1}^{\infty} converges uniformly to f on X if for every \epsilon > 0 there exists N>0 such that d_Y(f^{(n)}(x),f(x))<\epsilon for every n>N and x\in X.
 
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It is standard, it's just a lot easier to refer to a definition that's here. Remeber that the definition of continuity in terms of sequences was just a result of the more general definition of limits in terms of sequences, and you should still be able to apply that.
 
There are two things I don't understand about this problem. First, when finding the nth root of a number, there should in theory be n solutions. However, the formula produces n+1 roots. Here is how. The first root is simply ##\left(r\right)^{\left(\frac{1}{n}\right)}##. Then you multiply this first root by n additional expressions given by the formula, as you go through k=0,1,...n-1. So you end up with n+1 roots, which cannot be correct. Let me illustrate what I mean. For this...
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